In this paper, we evaluate a set of linguistic rules for pronunciation variations in Singapore English. We collect and annotate a speech corpus for Singapore English and label it with IPA narrow transcriptions. Data driven pronunciation rules are derived using American English (Buckeye corpus) as a reference. We compare the data driven rules with linguistic rules proposed by phoneticians, and f...

This research paper aims to analyze the comparative between British English and American English, because many language learners or users still confuse differentiate both of them, especially in countries where is foreign language. Sometimes, it cause misunderstanding communication. The use qualitative design with characteristic content analysis. It uses observation documentation collecting data...

This study addresses L1 transfer in Chinese EFL learners’ use of thematic progression English argumentative writing. Through a series statistical analyses the data collected from essays written by and American university students, finds that overuse patterns writing is under influence native language both linguistically conceptually. Tests potential effects intra-group homogeneity intra-L1-grou...

“Textisms” are semi-standardized abbreviations and conventions uses in SMS text messaging. Students in the fourth and fifth grades (N = 136) were exposed to words on a spelling list as correctly-spelled words, incorrectly-spelled words, or “textisms” to determine whether short term exposure to “textisms” decreased spelling performance for elementary aged children. Multivariate ANOVA found expos...

This paper describes our contribution to two challenges in data-driven lemmatization. We approach lemmatization in the framework of a two-stage process, where first lemma candidates are generated and afterwards a ranker chooses the most probable lemma from these candidates. The first challenge is that languages with rich morphology like Modern German can feature morphological changes of differe...

Historical corpora are important resources for different areas. Philology, Human Language Technology, Literary Studies, History, and Lexicography are some that benefit from them. However, compiling historical corpora is different from compiling contemporary corpora. Corpus designers have to deal with several characteristics inherent in historical texts, such as: absence of a spelling standard, ...